We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health is seeking a highly experienced and strategic Executive Director, Internal AI Products & Development to lead the enterprise strategy, governance, and scaling of AI-powered workplace solutions. This role sits within the Digital Workplace organization and is accountable for advancing AI-driven productivity, operational efficiency, and innovation for colleagues across the company. This leader will oversee a growing team focused on AI product strategy, engineering, architecture, and governance. The Executive Director will serve as an enterprise AI authority, partnering across business units to identify opportunities, evaluate needs, and deliver secure, compliant, and high-impact AI solutions in a highly regulated healthcare environment. Key Responsibilities Enterprise AI Strategy & Vision - Define and execute a multi-year roadmap for internal AI-enabled products - Identify scalable, enterprise-wide AI use cases aligned to strategic priorities - Establish standards for AI solution architecture, model lifecycle management, and responsible AI practices - Drive alignment with enterprise data, security, compliance, and privacy frameworks AI Product Development & Technical Leadership - Lead end-to-end lifecycle management of AI products (discovery, experimentation, model development, deployment, monitoring, scaling) - Oversee implementation of generative AI, large language models (LLMs), machine learning, automation, and intelligent workflow solutions - Ensure appropriate model governance, risk management, bias mitigation, and auditability - Partner with enterprise architecture and cloud teams to operationalize AI platforms at scale - Establish measurement frameworks to track adoption, performance, accuracy, and business ROI Business Partnership & Enablement - Serve as a trusted AI advisor to senior business leaders - Assess business processes and identify automation and AI augmentation opportunities - Lead structured intake and prioritization of AI initiatives - Drive AI literacy and responsible usage across the enterprise Thought Leadership & Governance - Represent Digital Workplace in enterprise AI governance councils - Promote ethical AI principles aligned with healthcare regulatory expectations - Monitor emerging AI technologies and assess their enterprise applicability - Position CVS Health as a leader in applied enterprise AI innovation Required Qualifications - 12+ years of experience in technology, digital product leadership, data science, or AI/ML domains - 7+ years of direct experience leading AI, machine learning, or advanced analytics initiatives at enterprise scale - Demonstrated experience deploying AI solutions in production environments, including model lifecycle management and MLOps practices - Hands-on experience with generative AI technologies, including large language models (LLMs), prompt engineering strategies, AI copilots, or conversational AI platforms - Strong understanding of AI architecture patterns, APIs, vector databases, embeddings, model orchestration frameworks, and cloud AI services - Proven experience implementing AI governance frameworks, including model risk management, bias detection, explainability, and compliance controls - Experience operating within regulated industries (healthcare, payer, pharmacy, financial services, or similar) - Demonstrated ability to translate AI capabilities into measurable business value - Experience leading cross-functional teams in large, matrixed organizations Preferred Qualifications - Experience implementing enterprise AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent) - Familiarity with data platforms, modern data engineering practices, and enterprise data governance - Experience scaling AI solutions supporting 50,000+ users - Advanced degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field - Experience driving AI adoption programs and change management at scale Education Minimum Education - Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Information Systems, or a related technical field OR equivalent combination of education and relevant executive-level experience Preferred Education - Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related technical discipline - MBA or advanced business degree (preferred for candidates with strong enterprise strategy responsibilities) Pay Range The typical pay range for this role is: $131,500.00 - $303,195.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 05/31/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. Principal Software Engineer-AI Thomson Reuters is building the AI platform that will power the next decade of tax and accounting products, including CoCounsel for Tax and Accounting – a suite of AI‑native products used by accountants on real client work every day. As a Principal Software Engineer, you will own core backend and AI orchestration systems that turn frontier models into reliable, production‑grade workflows at scale. This role is for the CoCounsel for Tax and Accounting team, formed from the recent acquisition of the startup Materia. Why this role is different: - Own the AI backbone: You will be the principal engineer responsible for the backend and orchestration layer powering AI agents, conversations, workspaces, and knowledge base across CoCounsel for Tax and Accounting. - Shape the company's AI platform and patterns: Define patterns for building MCP servers, designing agents, novel uses of LLMs, experimentation, and scalable infrastructure. Your decisions will influence multiple product lines, not just a single feature. - Work at real production scale: Build and evolve systems that operate over millions of documents, highly structured tax data, ever changing laws, and thousands of concurrent AI interactions from accountants doing time‑sensitive work. - Small team, big surface area: Join a tight group of senior engineers and researchers shipping quickly, with direct access to product leadership and customers. Think ownership of a startup with the runway of a public company. - Great fit for managers who miss building: This role is intentionally designed for senior engineers and engineering managers who want to move back into a high‑impact IC track. You keep the scope and influence of an EM – driving multi‑team initiatives, setting technical direction, mentoring senior engineers – but spend most of your time in the code and architecture of AI systems instead of in 1:1s and status meetings. About the Role In this role as a Principal Software Engineer-AI you will: Technical leadership and cross‑functional influence - Lead multi‑quarter initiatives that cut across AI, product, and infra (e.g., a new orchestration layer, a low-latency retrieval system, or a unified knowledge base). - Mentor staff and senior engineers, raising the bar on system design, code quality, and AI integration practices across the org. - Be the expert in new model capabilities, collaborating closely with AI/ML engineers, researchers, designers, and PMs to translate industry improvements into reliable, user‑facing workflows that accountants trust. - Help shape the team’s roadmap, technical strategy, and engineering culture – from experimentation practices to testing, rollout, and postmortems. Design and own AI‑first backend systems - Architect and implement backend services (Python, FastAPI, PostgreSQL, AWS, Vercel) that power generative AI agents, complex workflows (e.g., tax filing, advisory, audit), and document‑centric experiences. - Build and evolve AI orchestration: routing, tool calling, MCP servers, multi‑step workflows, safety and guardrails, and robust error handling around third‑party LLMs (OpenAI, Anthropic, and others). Scale, reliability, and performance - Design for high‑throughput, low‑latency AI workloads: caching, queuing, rate‑limiting, model failover, and cost/performance tradeoffs. - Work with large‑scale data: millions of documents, retrieval and search, vector stores, and indexing strategies tailored to tax and accounting use cases. - Establish and refine SLOs, observability, and incident response for AI systems that must be correct, auditable, and trustworthy in professional workflows. About You: You are a fit for the position of Principal Software Engineer,AI if your background includes: - Bachelors Degree in Computer Science, Computer Engineering, Related Field, or Equivalent Experience - 8-10+ years of experience in backend development, building scalable web services and APIs. - Deep Python expertise and experience with production systems using frameworks like FastAPI (or similar), relational databases (PostgreSQL or equivalent), and a major cloud provider (AWS preferred). - Strong background in distributed systems: data modeling, API contracts, observability, resilience patterns, and performance tuning under load. - Proven track record owning large, complex projects end‑to‑end: architecture, execution, rollout, and long‑term operation. - Excellent communication skills and the ability to partner with product, design, and ML teams in a fast‑moving environment. - Demonstrated interest in AI systems and new engineering paradigms: LLMs, agents, retrieval, or similar – you care about what “AI‑native” software should look like. Preferred Skills & Experience - Hands‑on experience integrating LLM APIs (e.g., OpenAI, Anthropic) into production applications, including prompt/response management, cost controls, and safety considerations. - Experience with AI‑adjacent infrastructure: vector databases, embeddings, semantic search, or custom retrieval pipelines. - Opinions and experience around automated testing, reliability, and release practices for systems with nondeterministic model behavior. - Prior experience in domains where correctness, auditability, and compliance matter (fintech, tax, legal, or similar), or strong interest in applying AI in those contexts. - Many of our strongest candidates have bounced between EM and senior IC roles. If you’ve been managing for the last few years and want to get closer to the hard technical problems again – without giving up scope or career progression – this principal IC role is built for that pivot. Note if you are looking for roles at other levels, we are also hiring Staff and Senior engineers. Search for "Materia AI" within all open roles at Thomson Reuters. #LI-SM2 What’s in it For You? - Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. - Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. - Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. - Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. - Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. - Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. This job posting will close 06/30/2026. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com

Mission As a Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: - Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. - Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems - Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains - Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks - Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: - 5+ years of hands-on industry ML experience in at least one of the following: - ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. - AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI - Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience - Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike - Passion for collaboration, life-long learning, and driving business value through ML & AI - [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role - Can meet expectations for technical training and role-specific outcomes within 3 months of hire - This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

• Develop and manage a complex AI sales pipeline through outbound sales efforts and close partnership with the sales team. • Secure initial lighthouse customers to build credibility, prove value, and support future scalability. • Define and refine AI value propositions by industry and use case, while contributing to pricing, packaging, and commercialization models. • Train and support sales teams to position AI solutions effectively in the corporate market and participate in strategic deals as a specialist resource. • Develop sales materials, messaging frameworks, and discovery approaches that improve field readiness and consistency. • Partner with Publisher Services, Product, and Legal/Compliance to align offerings with partner capabilities, EBSCO capabilities, governance requirements, and market opportunities. • Represent EBSCO in customer discussions and industry engagements, and support marketing initiatives through thought leadership and customer storytelling.